Herbie 0.0.8

Add access to ECMWF open data forecast products

The main feature of this release is the ability to retrieve ECMWF open data forecast products (see tweet)

The big change was implementing a method to read the grib_ls-style index files to get the byte ranges for specific variables/parameters. This means that the searchString argument will need to be specified differently than that used for other models. Read more about the searchString argument for grib_ls-style index files: https://blaylockbk.github.io/Herbie/_build/html/user_guide/searchString.html#grib-ls-style-index-files

For example:

from herbie.archive import Herbie
# Create Herbie object to discover ECMWF operational forecast product
H = Herbie("2022-01-26", model="ecmwf", product="oper", fxx=12)

# Download the full grib2 file
H.download()

# Download just the 10-m u and v winds
H.download(searchString=":10(u|v):")

# Retrieve the 500 hPa temperature as an xarray.Dataset
ds = H.xarray(searchString=":t:500:")

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🏹 More examples for retrieving ECMWF open data

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Changelog

• Added access to ECMWF's open data products by @blaylockbk in #37

Full Changelog: 0.0.7...0.0.8

Pretty Pictures